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Job Summary:
Databricks is a data and AI company that serves over 10,000 organizations worldwide. They are seeking an Industry Lead Solutions Architect to bridge the gap between product capabilities and industry-specific business outcomes in Financial Services, working closely with various teams to drive growth and technical excellence.
Responsibilities:
• Define and execute the Databricks Industry strategy — work with Industry GTM leaders to lead creation and curation of high-quality, sub-industry-specific assets (POVs, demos, reference architectures, customer references, evaluation templates, implementation plans) that showcase Databrick’s value for high-priority use cases across Financial Services sub-verticals (e.g., Capital Markets, Insurance, Banking, Payments, Professional Services, Alternative Investments, FinTech, Data Providers)
• Create standardized frameworks for asset quality and prioritization — define what "good" looks like for industry assets, and determine prioritization of asset creation including build-vs-partner decisions
• Drive joint GTM strategy with partners — collaborate with Global System Integrators (GSIs), Regional System Integrators (RSIs), and data partners to co-build assets, align partner solutions to Databricks sub-vertical POVs, and identify the right partners for specific use cases and implementations
• Embed with strategic Financial Services customers — engage directly with customer technical and business leadership, and advise on how Databricks solves their most pressing domain-specific challenges. Aggregate shared pain points across similar customers to refine messaging and asset creation strategy
• Guide customers through the full use case lifecycle — from establishing credibility and setting vision, through winning evaluations with "golden" POC templates and reference architectures, to realizing value with recommended implementation partners, sample SOWs, and value realization templates
• Scale Industry Adoption: You will act as the field enablement lead, training Solutions Architects (SAs) and partners on how to leverage Databricks assets to accelerate customer success globally.
Qualifications:
Required:
• 15+ years in a customer-facing pre-sales or consulting role
• Deep experience in big data technologies (Spark, Delta Lake, MLflow)
• Experience with cloud platforms (AWS, Azure, or GCP)
• Deep domain expertise in Financial Services
• Strong understanding of sub-industry dynamics across one or more of: Capital Markets, Banking & Payments, Insurance, Asset & Wealth Management, Alternative Investments, FinTech, or Financial Data Providers
• Ability to engage credibly with senior business and technology leaders (e.g., Heads of Markets Technology, Chief Data Officers, Heads of Quant Research)
• Proven ability to develop and execute industry-specific GTM strategies
• Experience building outcome-focused content, POVs, and technical assets that resonate with both business and technical personas
• Experience working with global system integrators, consulting organizations, financial services technology, or financial services data providers
• Strong communication skills with a track record of mentoring technical teams and enabling partner ecosystems (GSIs and regional boutiques)
• Excellent communication and storytelling skills
• Undergraduate degree or higher in an engineering or mathematics discipline (Computer Science, Applied Mathematics, etc.)
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.